# -*- coding: utf-8 -*-
"""
TTS合成步骤
将文本转换为语音
"""

import logging
from pathlib import Path
from typing import Dict, Any, List, Optional
import json

from ..step_base import BaseStep, StepResult

logger = logging.getLogger(__name__)


class SynthesizeTTSStep(BaseStep):
    """TTS合成步骤"""

    name = "synthesize_tts"
    description = "合成文本转语音"
    required_inputs = ["text_list"]
    optional_inputs = ["voice_config", "output_format"]
    produces_outputs = ["audio_files", "subtitle_files"]

    def __init__(
        self,
        output_dir: Path,
        text_list: Optional[List[str]] = None,
        voice_config: Optional[Dict[str, Any]] = None,
        output_format: str = "mp3",
        **kwargs,
    ):
        """
        初始化步骤

        Args:
            output_dir: 输出目录
            text_list: 文本列表
            voice_config: 语音配置
            output_format: 输出格式
        """
        super().__init__(output_dir, **kwargs)
        self.text_list = text_list or []
        self.voice_config = voice_config or {
            "voice": "zh-CN-XiaoxiaoNeural",
            "speed": 1.0,
            "pitch": 1.0,
        }
        self.output_format = output_format

    def validate_inputs(self) -> tuple[bool, list[str]]:
        """验证输入"""
        errors = []

        if not self.text_list:
            errors.append("No text list provided")

        if not isinstance(self.text_list, list):
            errors.append("Text list must be a list")

        if self.output_format not in ["mp3", "wav", "ogg"]:
            errors.append(f"Unsupported output format: {self.output_format}")

        return len(errors) == 0, errors

    def run(self) -> StepResult:
        """执行步骤"""
        try:
            self.report_progress(0, "Starting TTS synthesis")

            audio_files = []
            subtitle_files = []

            # 合成每个文本
            for i, text in enumerate(self.text_list):
                self.report_progress(
                    int((i / len(self.text_list)) * 80),
                    f"Synthesizing audio {i+1}/{len(self.text_list)}"
                )

                # 生成音频文件
                audio_file = self._synthesize_audio(text, i)
                audio_files.append(audio_file)

                # 生成字幕文件
                subtitle_file = self._generate_subtitle(text, i)
                subtitle_files.append(subtitle_file)

            # 保存配置
            self.report_progress(90, "Saving TTS configuration")

            self._save_configs(audio_files, subtitle_files)

            # 完成
            self.report_progress(100, "TTS synthesis completed")

            return StepResult(
                success=True,
                message="TTS synthesis completed",
                data={
                    "total_audio": len(audio_files),
                    "voice_config": self.voice_config,
                    "output_format": self.output_format,
                },
                output_files=[
                    self.output_dir / "tts_config.json",
                    self.output_dir / "audio_list.json",
                    self.output_dir / "subtitles.json",
                ],
            )

        except Exception as e:
            logger.exception("Failed to synthesize TTS")
            return StepResult(
                success=False,
                message=f"Failed to synthesize TTS: {str(e)}",
            )

    def _synthesize_audio(self, text: str, index: int) -> Path:
        """
        合成音频

        Args:
            text: 文本
            index: 索引

        Returns:
            音频文件路径
        """
        # 这里是模拟的TTS合成
        # 实际实现需要调用TTS服务（如Azure TTS、Amazon Polly等）
        # 或者使用本地TTS引擎

        audio_file = self.output_dir / f"audio_{index:03d}.{self.output_format}"

        # 模拟音频合成
        # 在实际实现中，这里应该调用TTS API
        # 例如：使用azure-cognitiveservices-speech或boto3

        # 创建空的音频文件（占位符）
        audio_file.touch()

        logger.info(f"Simulated TTS synthesis: {text[:50]}...")

        return audio_file

    def _generate_subtitle(self, text: str, index: int) -> Path:
        """
        生成字幕

        Args:
            text: 文本
            index: 索引

        Returns:
            字幕文件路径
        """
        subtitle_file = self.output_dir / f"subtitle_{index:03d}.srt"

        # 模拟字幕时间轴（假设每个字0.3秒）
        duration = max(len(text) * 0.3, 2.0)  # 至少2秒

        start_time = index * duration
        end_time = start_time + duration

        # 生成SRT字幕
        srt_content = f"""{index + 1}
{self._format_srt_time(start_time)} --> {self._format_srt_time(end_time)}
{text}

"""

        with open(subtitle_file, "w", encoding="utf-8") as f:
            f.write(srt_content)

        return subtitle_file

    def _format_srt_time(self, seconds: float) -> str:
        """
        格式化SRT时间

        Args:
            seconds: 秒数

        Returns:
            SRT时间字符串
        """
        hours = int(seconds // 3600)
        minutes = int((seconds % 3600) // 60)
        secs = seconds % 60
        millisecs = int((secs % 1) * 1000)

        return f"{hours:02d}:{minutes:02d}:{int(secs):02d},{millisecs:03d}"

    def _save_configs(self, audio_files: List[Path], subtitle_files: List[Path]):
        """
        保存配置

        Args:
            audio_files: 音频文件列表
            subtitle_files: 字幕文件列表
        """
        # 保存TTS配置
        tts_config = {
            "voice": self.voice_config,
            "output_format": self.output_format,
            "total_audio": len(audio_files),
        }

        with open(self.output_dir / "tts_config.json", "w", encoding="utf-8") as f:
            json.dump(tts_config, f, indent=2, ensure_ascii=False)

        # 保存音频列表
        audio_list = {
            "audio_files": [str(f) for f in audio_files],
            "subtitle_files": [str(f) for f in subtitle_files],
        }

        with open(self.output_dir / "audio_list.json", "w", encoding="utf-8") as f:
            json.dump(audio_list, f, indent=2, ensure_ascii=False)

        # 合并所有字幕为单个文件
        self._merge_subtitles(subtitle_files)

    def _merge_subtitles(self, subtitle_files: List[Path]):
        """
        合并字幕文件

        Args:
            subtitle_files: 字幕文件列表
        """
        merged_content = []
        index = 1

        for subtitle_file in subtitle_files:
            with open(subtitle_file, "r", encoding="utf-8") as f:
                content = f.read()

            # 重新编号
            lines = content.split("\n")
            for i, line in enumerate(lines):
                if line.isdigit():
                    lines[i] = str(index)
                    index += 1
                merged_content.append(line)

        # 保存合并的字幕
        with open(self.output_dir / "subtitles.srt", "w", encoding="utf-8") as f:
            f.write("\n".join(merged_content))
